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01/25/2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
This paper presents a selective survey of recent developments in statist...
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08/18/2022
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models
Motivated by the simultaneous association analysis with the presence of ...
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03/22/2022
Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple Testing
Transfer learning has enjoyed increasing popularity in a range of big da...
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01/25/2022
NAPA: Neighborhood-Assisted and Posterior-Adjusted Two-sample Inference
Two-sample multiple testing problems of sparse spatial data are frequent...
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06/30/2020
Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data
Estimation of the covariance matrix of asset returns is crucial to portf...
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04/02/2020
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
Identifying informative predictors in a high dimensional regression mode...
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08/21/2019
Paired Test of Matrix Graphs and Brain Connectivity Analysis
Inferring brain connectivity network and quantifying the significance of...
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08/11/2019
Hypothesis Testing for Network Data with Power Enhancement
Comparing two population means of network data is of paramount importanc...
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04/10/2019
A Nonparametric Normality Test for High-dimensional Data
Many statistical methodologies for high-dimensional data assume the popu...
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02/16/2019
Privacy Preserving Integrative Regression Analysis of High-dimensional Heterogeneous Data
Meta-analyzing multiple studies, enabling more precise estimation and in...
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03/23/2018
Fictitious GAN: Training GANs with Historical Models
Generative adversarial networks (GANs) are powerful tools for learning g...
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05/12/2014